1. Failure Analysis and Structural Optimization of High-Pressure Reciprocating Y-Shaped Sealing Ring.
- Author
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Li, Jie Wei, Chen, Guo Qiang, Yang, Liu, and Wang, Yue
- Subjects
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LATIN hypercube sampling , *OPTIMIZATION algorithms , *STRAINS & stresses (Mechanics) , *FINITE element method , *FAILURE analysis - Abstract
To address the frequent failure of hydraulic seals under high-pressure and high-flow continuous working conditions, optimizing the seal structure through intelligent optimization algorithms can improve performance. This paper proposes an improved intelligent optimization algorithm and finite element analysis to determine the optimal design parameters for the seal. Initially, a visual inspection and analysis of the failed Y-shaped seal revealed causes such as wear failure, damage failure, and leakage. Finite element analysis of the seal under actual working conditions confirmed the previous analysis. The study considered six control design parameters: lip base height, short-long lip length, short lip height, short lip angle, long lip angle, and lip base fillet radius. Using ANSYS, 50 parameter combinations were selected through Latin hypercube sampling for finite element simulation runs, with the maximum shear stress and maximum contact stress as optimization targets. A BP neural network was established and optimized using a genetic algorithm to design the unequal height Y-shaped seal structure based on NSGA-II, with optimization of the root chamfer to increase net pump backflow. The research results show a 7.29% reduction in maximum contact stress of the seal, a 21.4% decrease in maximum shear stress, and an increase of 0.066 mm3 in net pump backflow through chamfer optimization. The results indicate that this method effectively addresses design issues of seals in industrial applications. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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